Ryan Gill
Impact in
- Statistics and Probability top 10%
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Market Dynamics and Volatility 10
- Complex Systems and Time Series Analysis 4
-
- Gene expression and cancer classification 8
- Bioinformatics and Genomic Networks 4
- Co-authors
- Somnath Datta (6 shared papers)Susmita Datta (3 shared papers)Anokye M. Adam (5 shared papers)Xiaohong Li (3 shared papers)Nigel G. F. Cooper (3 shared papers)Susmita Datta (6 shared papers)Jae Keun Yoo (1 shared paper)Seongho Kim (1 shared paper)
- Journals
- IEEE Access (2 papers)Journal of Statistical Planning and Inference (2 papers)The Journal of developing areas (1 paper)Canadian Journal of Statistics (1 paper)Operations Research Letters (1 paper)
- Partner nations
- United StatesSouth AfricaGhana
In The Last Decade
Ryan Gill
34 papers receiving 417 citations
Peers
Comparison fields: 5 of 103
- Statistics and Probability 33
- Cancer Research 53
- Management Science and Operations Research 45
- Finance 30
- Economics and Econometrics 77
Countries citing papers authored by Ryan Gill
This map shows the geographic impact of Ryan Gill's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ryan Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Gill more than expected).
Fields of papers citing papers by Ryan Gill
This network shows the impact of papers produced by Ryan Gill. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ryan Gill. The network helps show where Ryan Gill may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Gill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 110 | |
| 2 | 2017 | 54 | |
| 3 | 2011 | 44 | |
| 4 | 2010 | 35 | |
| 5 | 2022 | 23 | |
| 6 | 2007 | 16 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2014 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2014 | 10 | |
| 13 | 2003 | 8 | |
| 14 | 2014 | 8 | |
| 15 | 2014 | 8 | |
| 16 | 2014 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2016 | 4 | |
| 19 | 2006 | 4 | |
| 20 | 2016 | 3 |
About Ryan Gill
Ryan Gill is a scholar working on Economics and Econometrics, Molecular Biology, Finance, General Economics, Econometrics and Finance and Statistics and Probability, having authored 35 papers that have together received 429 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (10 papers), Gene expression and cancer classification (8 papers), Monetary Policy and Economic Impact (6 papers), Financial Risk and Volatility Modeling (5 papers), Statistical Methods and Inference (4 papers), Bioinformatics and Genomic Networks (4 papers), Advanced Statistical Process Monitoring (4 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Statistics and Probability (33 citations), Cancer Research (53 citations), Management Science and Operations Research (45 citations), Finance (30 citations) and Economics and Econometrics (77 citations). Ryan Gill has collaborated with scholars based in United States, South Africa and Ghana. Frequent co-authors include Somnath Datta, Susmita Datta, Anokye M. Adam, Xiaohong Li, Nigel G. F. Cooper, Susmita Datta, Jae Keun Yoo, Seongho Kim, Sutirtha Chakraborty and N. Shesh. Their work appears in journals such as IEEE Access, Journal of Statistical Planning and Inference, The Journal of developing areas, Canadian Journal of Statistics and Operations Research Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.